Alessio Ippolito

Ecological vulnerability analysis: A river basin case study

Assessing and quantifying ecosystem vulnerability is a key issue in site-specific ecotoxicological risk assessment. In this paper, the concept of vulnerability, particularly referred to aquatic ecosystems is defined. Sensitivity to stressors, susceptibility for exposure and recovery capability are described as component of vulnerability of biological communities. The potential for habitat changes must also be considered in ecosystem vulnerability assessment. A procedure based on the application of an ecosystem vulnerability index is proposed. The method allows the assessment of vulnerability of riverine ecosystems to multiple stressors. The procedure is applied to two river systems in northern Italy: River Serio, subject to strong human pressure, and River Trebbia, in semi-natural conditions, as reference system. Macrozoobenthos is chosen as the indicator community. The actual quality of River Serio was evaluated as the result of the multiple stressor pressure on the reference system. Values and limitations of the approach are discussed.

First evidences of the occurrence of polycyclic synthetic musk fragrances in surface water systems in Italy: Spatial and temporal trends in the Molgora River (Lombardia Region, Northern Italy)

The polycyclic synthetic musks (PCMs) such as galaxolide (HHCB), tonalide (AHTN) and celestolide (ABDI) are important ingredients in fragrances for consumer products because of their typical musky scent. In EU, PCMs are classified as HPVC (High Production Volume Chemicals). Furthermore, it has been recognized that these substances are only partially degraded in domestic sewers. For both reasons these chemicals are considered ubiquitous contaminants of aquatic systems. Monitoring data are available for the Northern region of the EU, but it is not known whether they are also representative for the Southern EU countries. The lack of data upon the environmental exposure in Southern EU can be significant, since use patterns and volumes differ from country to country. This is particularly true for Italy that has the largest detergent consumption per capita in EU. Due to this, the objective of the present study was to investigate the occurrence of selected PCMs in the Molgora River (Lombardia region, Italy). To our knowledge it represents the first overview of PCM occurrence in the Italian water bodies. Water samples were collected seasonally in seven sampling stations located before and after the 3 sewage treatment plants present along the river, which serve about 300,000 inhabitants. The spatial and temporal profiles of contamination are described. A comparison of the results with existing monitoring data of other European regions indicated a significant higher level of PCM pollution of the Molgora River and the need to extend the monitoring campaigns to other Italian water bodies, in order to achieve a better knowledge of the levels of PCM contamination in this country.

Modeling global distribution of agricultural insecticides in surface waters

Agricultural insecticides constitute a major driver of animal biodiversity loss in freshwater ecosystems. However, the global extent of their effects and the spatial extent of exposure remain largely unknown. We applied a spatially explicit model to estimate the potential for agricultural insecticide runoff into streams. Water bodies within 40% of the global land surface were at risk of insecticide runoff. We separated the influence of natural factors and variables under human control determining insecticide runoff. In the northern hemisphere, insecticide runoff presented a latitudinal gradient mainly driven by insecticide application rate; in the southern hemisphere, a combination of daily rainfall intensity, terrain slope, agricultural intensity and insecticide application rate determined the process. The model predicted the upper limit of observed insecticide exposure measured in water bodies (n = 82) in five different countries reasonably well. The study provides a global map of hotspots for insecticide contamination guiding future freshwater management and conservation efforts.

Sensitivity assessment of freshwater macroinvertebrates to pesticides using biological traits.

Assessing the sensitivity of different species to chemicals is one of the key points in predicting the effects of toxic compounds in the environment. Trait-based predicting methods have proved to be extremely efficient for assessing the sensitivity of macroinvertebrates toward compounds with non specific toxicity (narcotics). Nevertheless, predicting the sensitivity of organisms toward compounds with specific toxicity is much more complex, since it depends on the mode of action of the chemical. The aim of this work was to predict the sensitivity of several freshwater macroinvertebrates toward three classes of plant protection products: organophosphates, carbamates and pyrethroids. Two databases were built: one with sensitivity data (retrieved, evaluated and selected from the U.S. Environmental Protection Agency ECOTOX database) and the other with biological traits. Aside from the “traditional” traits usually considered in ecological analysis (i.e. body size, respiration technique, feeding habits, etc.), multivariate analysis was used to relate the sensitivity of organisms to some other characteristics which may be involved in the process of intoxication. Results confirmed that, besides traditional biological traits, related to uptake capability (e.g. body size and body shape) some traits more related to particular metabolic characteristics or patterns have a good predictive capacity on the sensitivity to these kinds of toxic substances. For example, behavioral complexity, assumed as an indicator of nervous system complexity, proved to be an important predictor of sensitivity towards these compounds. These results confirm the need for more complex traits to predict effects of highly specific substances. One key point for achieving a complete mechanistic understanding of the process is the choice of traits, whose role in the discrimination of sensitivity should be clearly interpretable, and not only statistically significant.

Analysing chemical-induced changes in macroinvertebrate communities in aquatic mesocosm experiments: a comparison of methods.

Mesocosm experiments that study the ecological impact of chemicals are often analysed using the multivariate method ‘Principal Response Curves’ (PRCs). Recently, the extension of generalised linear models (GLMs) to multivariate data was introduced as a tool to analyse community data in ecology. Moreover, data aggregation techniques that can be analysed with univariate statistics have been proposed. The aim of this study was to compare their performance. We compiled macroinvertebrate abundance datasets of mesocosm experiments designed for studying the effect of various organic chemicals, mainly pesticides, and re-analysed them. GLMs for multivariate data and selected aggregated endpoints were compared to PRCs regarding their performance and potential to identify affected taxa. In addition, we analysed the inter-replicate variability encountered in the studies. Mesocosm experiments characterised by a higher taxa richness of the community and/or lower taxonomic resolution showed a greater inter-replicate variability, whereas variability decreased the more zero counts were encountered in the samples. GLMs for multivariate data performed equally well as PRCs regarding the community response. However, compared to first axis PRCs, GLMs provided a better indication of individual taxa responding to treatments, as separate models are fitted to each taxon. Data aggregation methods performed considerably poorer compared to PRCs. Multivariate community data, which are generated during mesocosm experiments, should be analysed using multivariate methods to reveal treatment-related community-level responses. GLMs for multivariate data are an alternative to the widely used PRCs.

Evaluating pesticide effects on freshwater invertebrate communities in alpine environment: a model ecosystem experiment

Pesticide loads in streams are potentially one of the most relevant stressors for macroinvertebrate communities. Nevertheless, real effects provoked at the community level are still largely unknown. Model ecosystems are frequently used as tools for the risk assessment of pesticides, especially for their regulation, however, they can be also applied to site-specific risk assessment in order to gain better understanding of the responses of aquatic ecosystems to chemical stress. In the present work, an experimental system was composed of 5 artificial streams that reproduced a mountain lotic environment under controlled conditions. This study was aimed to better understand, whether (and how) the biological community was influenced by pesticides pulse exposures. 5 mixture load events were simulated over the productive season (March–July 2010): biological community was regularly sampled and nominal concentrations of water were tested. The results were interpreted comparing the output of different metrics and statistical methodologies. The sensitivity of different metrics was analyzed considering single exposure events (maximum Toxic Units) as well as overall temporal trends. Results showed how some common taxonomic metrics (e.g. taxa richness, Shannon’s index, total abundance of organisms, and the Extended Biotic Index) were not suitable to identify the effects of pesticides at community level. On the contrary EPT%, SPEARpesticide and the Principal Response Curve methodology proved to be sensitive to this kind of stress, providing comparable results. Temporal trends of these metrics proved to be related to the concentration of chemicals. Remarkably, the first Principal Response Curve illustrates the trend followed by the most vulnerable species, while the second is more related to the trend of opportunistic species. A high potential risk for the invertebrate community was highlighted by a statistically significant decline of 40 points (comparison with the control) in both SPEARpesticide and EPT%.

Predicting pesticide fate in small cultivated mountain watersheds using the DynAPlus model: Toward improved assessment of peak exposure

The use of plant protection products (PPPs) in agricultural areas implies potential chemical loadings to surface waters, which can pose a risk to aquatic ecosystems and human health. Due to the spatio-temporal variability of PPP applications and of the processes regulating their transport to surface waters, aquatic organisms are typically exposed to pulses of contaminants. In small mountain watersheds, where runoff fluxes are more rapid due to the steep slopes, such exposure peaks are particularly likely to occur. In this work, a spatially explicit, dynamic model for predicting pesticide exposure in surface waters of cultivated mountain basins (DynAPlus) has been developed. The model has been applied to a small mountain watershed (133km2) located in the Italian Eastern Alps and characterized by intensive agriculture (apple orchards) around the main river and its tributaries. DynAPlus performance was evaluated for chlorpyrifos through experimental monitoring, using samples collected during the 2011 and 2012 productive seasons. The comparison between predictions and measurements resulted in a good agreement (R2=0.49, efficiency factor 0.60), although a more accurate spatial information in the input scenario (e.g., field-specific applications, rainfall amount, soil properties) would dramatically improve model performance. A set of illustrative simulations performed for three PPPs highlighted the potential role of DynAPlus in improving exposure predictions for ecological risk assessment and pesticide management practices (e.g., for active ingredient and application rate selection), as well as for planning efficient monitoring campaigns and/or interpreting monitoring data. However, some model improvements (e.g., solid erosion and transport) and a more thorough model validation are desirable to enlarge the applicability domain.

Neonicotinoids and bees: The case of the European regulatory risk assessment

Neonicotinoid insecticides are systemic pesticides authorised in Europe since 1991. From their introduction on the market, they have received significant attention from the scientific community, particularly regarding the assessment of lethal and sublethal effects on bees. The availability of scientific evidence alongside some concerns raised on the bee health led to the development of more articulate risk assessment methodologies for pesticides. To support the European Commission in its decision-making process, since 2012 EFSA has been requested to evaluate the risk to bees posed by the exposure to neonicotinoids. The outcome of the EFSA evaluations has been used by risk managers to revise the approval conditions of the substances clothianidin, imidacloprid and thiamethoxam and to impose severe restrictions on their use. Meanwhile, a number of new studies have been carried out. EFSA is evaluating these data in order to further support the decision-making process with updated scientific assessments.

Natural variability of enzymatic biomarkers in freshwater invertebrates

Biomarkers have been widely employed in ecotoxicology as early warning indicators of exposure to toxicants. Very often, they are used to compare reference and polluted sites, or to analyse time trends. However, very few studies focus on the natural variability range of biomarkers in the environment, which is pivotal to understand if the detected differences are actually determined by any adverse effects due to pollution. This work assesses the natural spatio-temporal variability of some enzymatic levels, frequently used as biomarkers, in freshwater benthic invertebrates. The influence of some environmental parameters on the enzymatic levels was also evaluated. Three families of insect larvae (Perlidae, Baetidae, and Heptageniidae) were sampled in three pristine streams and in eight different dates. Four enzymes (acetylcholinesterase, glutathione-S-transferase, alkaline phosphatase, and catalase) were measured. The natural variability of enzymatic levels was often significant in all considered species across both space and time. The observed pattern was poorly explained by the monitored environmental parameters. The results of this work show that great care should be paid when interpreting monitoring data in which biomarker levels are measured and compared among sites or dates. Presuming that measured differences are due to anthropogenic factors can be misleading, when other potentially influencing factors have not been accounted for.

Peer review of the targeted hazard assessment of the pesticide active substance quinoxyfen

Abstract The conclusions of EFSA following the peer review of the initial assessments carried out by the competent authorities of the rapporteur Member State, the United Kingdom, and co‐rapporteur Member State, Austria, for the pesticide active substance quinoxyfen are reported. The context of the peer review was that required by Commission Implementing Regulation (EU) No 844/2012. The conclusions were reached on the basis of the evaluation of information targeted at the assessment of the potential persistent, bioaccumulative and toxic (PBT), very persistent and very bioaccumulative (vPvB) and persistent organic pollutant (POP) properties of quinoxyfen according to Article 11(2) of Regulation (EC) No 1107/2009. The reliable end points, appropriate for use in these regulatory hazard cut off assessments are presented. Missing information identified as being required by the regulatory framework is listed. The concern is identified that quinoxyfen may be considered to exhibit the hazard properties of both a PBT and vPvB substance considering the triggers specified in Annex II of Regulation (EC) No 1107/2009.